Job Overview:

We are urgently looking for a highly skilled and experienced Senior Azure Data Engineer to join our team. The ideal candidate must have a solid background in Azure Data Factory (ADF), Databricks, PySpark, and strong hands-on experience with modern data tools and platforms. This is a client-facing role requiring excellent communication skills, flexibility, and strong problem-solving capabilities.

🔸 Key Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes using Azure Data Factory and Databricks
• Develop and optimize PySpark jobs for large-scale data processing
• Integrate various data sources into a unified data lake/warehouse environment
• Implement data governance practices using Unity Catalog and manage metadata effectively
• Work closely with stakeholders to understand business requirements and translate them into technical solutions
• Monitor, troubleshoot, and improve existing data workflows and performance
• Collaborate with BI developers to support Power BI reporting and dashboards
• Utilize Azure DevOps (ADO) for CI/CD pipelines and version control

🔸 Must-Have Skills:

• Azure Data Factory (ADF) – Advanced knowledge
• Azure Platform – End-to-end data engineering experience
• Databricks & PySpark – Strong development experience
• SQL – Excellent query optimization and data manipulation skills
• Azure DevOps (ADO) – Familiar with CI/CD practices
• Power BI – Ability to support data modeling and integration
• Unity Catalog – Hands-on experience in metadata and data governance
• Excellent Communication Skills – Verbal and written, must be client-facing ready

🔸 Preferred Qualifications:

• Azure Data Engineer or Azure Architect Certification
• Previous experience in Agile environments
• Exposure to data security and compliance practices in Azure
• Strong problem-solving and analytical thinking